Table 3_Interactions between the intestinal microbiome and host genes in regulating vibriosis resistance in Cynoglossus semilaevis.xlsx by Weiwei Zheng (140828)

“…</p>Results<p>Obvious histopathological differences were observed between the resistant and susceptible groups in terms of inflammatory cells infiltration, and tissue dissociation of mucosal layer. 16S rRNA sequencing analysis indicated that Vibrio increased but Stenotrophomonas, Chryseobacterium, Delftia, and Salinivibrio decreased in the susceptible group. Compared to the control group, 1,986 differentially expressed genes (DEGs) were detected in the susceptible group, significantly more than the 310 DEGs found in the resistant group. …”

Table 1_MIKC-type MADS-box transcription factor OsMADS31 positively regulates salinity tolerance in rice.xlsx by Xiaolin Yin (359202)

“…<p>Rice (Oryza sativa L.) is one of the world’s most vital staple crops, providing food for over 50% of the global population. As a salt-sensitive crop, rice is susceptible to damage from soil-soluble salt stress, which can severely reduce rice yield. …”

Data Sheet 1_MIKC-type MADS-box transcription factor OsMADS31 positively regulates salinity tolerance in rice.pdf by Xiaolin Yin (359202)

“…<p>Rice (Oryza sativa L.) is one of the world’s most vital staple crops, providing food for over 50% of the global population. As a salt-sensitive crop, rice is susceptible to damage from soil-soluble salt stress, which can severely reduce rice yield. …”

Table 1_Molecular and epigenetic responses to crowding stress in rainbow trout (Oncorhynchus mykiss) skeletal muscle.xlsx by Daniela Aravena-Canales (14336037)

“…Background<p>Chronic stress is a critical challenge in fish aquaculture, adversely affecting growth, health, and overall productivity. …”

Image 1_Machine learning identifies neutrophil extracellular traps-related biomarkers for acute ischemic stroke diagnosis.tif by Haipeng Zhang (3413288)

“…</p>Results<p>The discovery dataset included 73 AIS patients and 24 healthy controls, revealed 551 DEGs (225 upregulated, 326 downregulated). The analysis of ssGSEA revealed notable immune dysregulation in AIS patients, characterized by increased neutrophil infiltration and decreased level of Th17, Th1, and TFH cells. …”

Table 1_Machine learning identifies neutrophil extracellular traps-related biomarkers for acute ischemic stroke diagnosis.docx by Haipeng Zhang (3413288)

“…</p>Results<p>The discovery dataset included 73 AIS patients and 24 healthy controls, revealed 551 DEGs (225 upregulated, 326 downregulated). The analysis of ssGSEA revealed notable immune dysregulation in AIS patients, characterized by increased neutrophil infiltration and decreased level of Th17, Th1, and TFH cells. …”

Presentation 1_Integrative analysis of DNA methylation, RNA sequencing, and genomic variants in the cancer genome atlas (TCGA) to predict endometrial cancer recurrence.pptx by Jin Hwa Hong (6523928)

“…These were visualized through volcano plots and heat maps, while decision trees and random forests classified and stratified the samples.</p>Results<p>A machine learning analysis combined with box plots showed that in the copy number-high (CN-H) recurrence group, PARD6G-AS1 had decreased methylation, CSMD1 had increased methylation, and TESC expression was higher than the non-recurrence group. …”

Identification of Alzheimer’s disease susceptibility genes by the integration of genomics and transcriptomics by Chenghong OuYang (13521682)

“…Finally, we predicted AD responses to immunotherapy by the single sample gene set enrichment analysis (ssGSEA).</p> <p>A total of 253 DEGs were identified. The three key genes (VASP, SURF2, and TARBP1) were identified by taking the intersection of DEGs and CG. …”

Code. by Hongliang Chen (538815)

“…RNA expression data from 465 patients with UC and 154 healthy controls (HCs) were obtained from the GEO database. A total of 128 mitochondria-related differentially expressed genes (Mito-DEGs) were identified between patients with UC and HCs. …”

Raw Data. by Hongliang Chen (538815)

“…RNA expression data from 465 patients with UC and 154 healthy controls (HCs) were obtained from the GEO database. A total of 128 mitochondria-related differentially expressed genes (Mito-DEGs) were identified between patients with UC and HCs. …”

Workflow of the study. by Hongliang Chen (538815)

“…RNA expression data from 465 patients with UC and 154 healthy controls (HCs) were obtained from the GEO database. A total of 128 mitochondria-related differentially expressed genes (Mito-DEGs) were identified between patients with UC and HCs. …”

Figure 5 from Multiplexed Imaging Mass Cytometry Reveals Tumor-immune Microenvironment–dependent Hormone Receptor Expression in Adult-Type Ovarian Granulosa Cell Tumors by Eleonora Y. Khlebus (20814571)

“…Colors of heatmap display gene expression <i>Z</i>-scores that are computed on a gene-by-gene basis: Increased expression (red) and decreased expression (blue). …”

Interactions between the intestinal microbiome and host genes in regulating vibriosis resistance in Cynoglossus semilaevis by weiwei zheng (11880230)

“…Obvious histopathological differences were detected in resistant and susceptible individuals in terms of inflammatory cells infiltration, and tissue dissociation of mucosal layer. 16S rRNA sequencing was performed to characterize the changes in intestinal microbial community, in which Vibrio increased but Stenotrophomonas, Chryseobacterium, Delftia, and Salinivibrio decreased in the susceptible group. RNA-seq analysis indicated that 1,986 differentially expressed genes (DEGs) were detected in the susceptible group, significantly more than 310 in the resistant group, when compared to the control group. …”

Data Sheet 1_Integrative analysis of DNA methylation, RNA sequencing, and genomic variants in the cancer genome atlas (TCGA) to predict endometrial cancer recurrence.zip by Jin Hwa Hong (6523928)

“…These were visualized through volcano plots and heat maps, while decision trees and random forests classified and stratified the samples.</p>Results<p>A machine learning analysis combined with box plots showed that in the copy number-high (CN-H) recurrence group, PARD6G-AS1 had decreased methylation, CSMD1 had increased methylation, and TESC expression was higher than the non-recurrence group. …”

HSP47 inhibitor Col003 may attenuates neurological impairment in chronic ischemic stroke rats by inhibiting LCN2 by Kejian Zhou (22557101)

“…</p> <p>Fourteen days post-MCAO, Col003 treatment significantly decreased cerebral infarct volume and enhanced neurological function scores in rats. …”

Data Sheet 3_Identification of novel gut microbiota-related biomarkers in cerebral hemorrhagic stroke.zip by Fengli Ye (22123540)

“…Introduction<p>Hemorrhagic stroke, especially intracerebral hemorrhage (ICH), is the most fatal type of stroke and a major cause of mortality and disability. Due to ambiguous symptoms and limited biomarkers, early diagnosis and prognosis remain challenging. …”

Data Sheet 1_Identification of novel gut microbiota-related biomarkers in cerebral hemorrhagic stroke.zip by Fengli Ye (22123540)

“…Introduction<p>Hemorrhagic stroke, especially intracerebral hemorrhage (ICH), is the most fatal type of stroke and a major cause of mortality and disability. Due to ambiguous symptoms and limited biomarkers, early diagnosis and prognosis remain challenging. …”

Data Sheet 2_Identification of novel gut microbiota-related biomarkers in cerebral hemorrhagic stroke.zip by Fengli Ye (22123540)

“…Introduction<p>Hemorrhagic stroke, especially intracerebral hemorrhage (ICH), is the most fatal type of stroke and a major cause of mortality and disability. Due to ambiguous symptoms and limited biomarkers, early diagnosis and prognosis remain challenging. …”

Supplementary Material for: Downregulation of Signal Transducer and Activator of Transcription 4 (STAT4) contributes to impaired osteogenic differentiation of human bone marrow ste... by figshare admin karger (2628495)

“…Transcriptomic analysis revealed DEGs in STAT4-overexpressing hBMSCs. Subsequent bioinformatics analyses indicated that some of these DEGs are involved in pathways regulating cell differentiation and senescence. …”

Data Sheet 2_Menthone lowers H3K27ac levels to inhibit Fusarium proliferatum growth.xlsx by Li-Yan Zhang (5091608)

“…</p>Results<p>This study demonstrated that menthone, the primary component of Mentha haplocalyx EO, exhibited notable antifungal activity against Fusarium proliferatum (EC50 = 6.099 mmol/L). The treatment significantly inhibited hyphal growth, reduced spore germination rates from 31.49 to 4.95%, decreased spore viability from 46.88 to 20.91%, and reduced spore production by a factor of 17.92 compared with the control group while simultaneously enhancing cell membrane permeability. …”